Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
1999-11-07 11:39:08	ga_ls7e_ard_3-0-0_114078_1999-11-07_final
1999-12-02 11:34:26	ga_ls7e_ard_3-0-0_113082_1999-12-02_final
1999-12-25 11:39:04	ga_ls7e_ard_3-0-0_114078_1999-12-25_final
2000-01-10 11:38:40	ga_ls7e_ard_3-0-0_114077_2000-01-10_final
2000-07-04 11:37:50	ga_ls7e_ard_3-0-0_114078_2000-07-04_final
2000-07-20 11:36:01	ga_ls7e_ard_3-0-0_114074_2000-07-20_final
2000-11-09 11:36:32	ga_ls7e_ard_3-0-0_114078_2000-11-09_final
2001-03-01 11:34:57	ga_ls7e_ard_3-0-0_114074_2001-03-01_final
2001-03-17 11:36:53	ga_ls7e_ard_3-0-0_114079_2001-03-17_final
2001-09-25 11:30:17	ga_ls7e_ard_3-0-0_114067_2001-09-25_final
2002-04-05 11:34:36	ga_ls7e_ard_3-0-0_114077_2002-04-05_final
2002-04-21 11:34:36	ga_ls7e_ard_3-0-0_114077_2002-04-21_final
2002-11-24 11:28:36	ga_ls7e_ard_3-0-0_113079_2002-11-24_final
2003-01-18 11:30:18	ga_ls7e_ard_3-0-0_114067_2003-01-18_final
2003-02-19 11:33:42	ga_ls7e_ard_3-0-0_114075_2003-02-19_final
2003-05-26 11:33:43	ga_ls7e_ard_3-0-0_114075_2003-05-26_final
2004-05-21 11:30:01	ga_ls7e_ard_3-1-0_113080_2004-05-21_final
2004-07-24 11:29:21	ga_ls7e_ard_3-0-0_113079_2004-07-24_final
2006-12-12 11:31:59	ga_ls7e_ard_3-0-0_114067_2006-12-12_final
2009-06-04 11:30:53	ga_ls7e_ard_3-0-0_113079_2009-06-04_final
2009-12-13 11:32:11	ga_ls7e_ard_3-0-0_113081_2009-12-13_final
2010-05-29 11:38:45	ga_ls7e_ard_3-0-0_114079_2010-05-29_final
2011-09-21 11:39:29	ga_ls7e_ard_3-0-0_114078_2011-09-21_final
2012-04-25 11:36:44	ga_ls7e_ard_3-0-0_113084_2012-04-25_final
2013-07-01 11:36:46	ga_ls7e_ard_3-0-0_113081_2013-07-01_final
2013-09-03 11:35:57	ga_ls7e_ard_3-0-0_113079_2013-09-03_final
2013-12-24 11:37:37	ga_ls7e_ard_3-0-0_113081_2013-12-24_final
2014-06-25 11:44:05	ga_ls7e_ard_3-0-0_114079_2014-06-25_final
2015-08-31 11:45:16	ga_ls7e_ard_3-0-0_114076_2015-08-31_final
2015-11-12 11:41:06	ga_ls7e_ard_3-0-0_113079_2015-11-12_final
2015-12-21 11:47:53	ga_ls7e_ard_3-0-0_114079_2015-12-21_final
2016-07-16 11:47:59	ga_ls7e_ard_3-0-0_114076_2016-07-16_final
2016-08-01 11:44:27	ga_ls7e_ard_3-0-0_114067_2016-08-01_final
2016-08-26 11:42:42	ga_ls7e_ard_3-0-0_113078_2016-08-26_final
2017-08-04 11:49:15	ga_ls7e_ard_3-0-0_114079_2017-08-04_final
2018-06-20 11:46:14	ga_ls7e_ard_3-0-0_114079_2018-06-20_final
2018-08-23 11:43:50	ga_ls7e_ard_3-0-0_114076_2018-08-23_final
2018-09-24 11:44:20	ga_ls7e_ard_3-0-0_114079_2018-09-24_final
2018-12-13 11:42:24	ga_ls7e_ard_3-0-0_114079_2018-12-13_final
2019-01-07 11:35:05	ga_ls7e_ard_3-0-0_113078_2019-01-07_final
2019-11-14 11:29:54	ga_ls7e_ard_3-1-0_114079_2019-11-14_final
2020-11-24 08:40:22	ga_ls7e_ard_3-1-0_090081_2020-11-23_final
2020-11-25 09:21:57	ga_ls7e_ard_3-1-0_097077_2020-11-24_final
2020-11-27 10:48:20	ga_ls7e_ard_3-1-0_111077_2020-11-27_final
2020-12-26 10:16:52	ga_ls7e_ard_3-1-0_106081_2020-12-26_final
2021-01-09 08:52:35	ga_ls7e_ard_3-1-0_092089_2021-01-08_final
2021-01-09 10:24:41	ga_ls7e_ard_3-1-0_108072_2021-01-09_final
2021-01-12 11:00:09	ga_ls7e_ard_3-1-0_113084_2021-01-12_final
2021-01-21 09:11:16	ga_ls7e_ard_3-2-0_096076_2021-01-20_final
2021-01-30 09:04:50	ga_ls7e_ard_3-2-0_095077_2021-01-29_final
2021-02-16 09:46:01	ga_ls7e_ard_3-2-0_102075_2021-02-16_final
2021-02-21 10:02:59	ga_ls7e_ard_3-2-0_105072_2021-02-21_final
2021-02-25 09:39:09	ga_ls7e_ard_3-2-0_101075_2021-02-25_final
2021-03-12 08:55:32	ga_ls7e_ard_3-2-0_094077_2021-03-11_final
2021-04-04 09:00:15	ga_ls7e_ard_3-2-0_095078_2021-04-03_final
2021-04-04 09:01:26	ga_ls7e_ard_3-2-0_095081_2021-04-03_final
2021-04-04 10:37:56	ga_ls7e_ard_3-2-0_111075_2021-04-04_final
2021-04-05 09:41:02	ga_ls7e_ard_3-2-0_102072_2021-04-05_final
2021-04-08 10:11:41	ga_ls7e_ard_3-2-0_107072_2021-04-08_final
2021-04-19 09:53:49	ga_ls7e_ard_3-2-0_104076_2021-04-19_final
2021-04-27 09:04:05	ga_ls7e_ard_3-2-0_096077_2021-04-26_final
2021-05-04 09:09:41	ga_ls7e_ard_3-2-0_097077_2021-05-03_final
2021-05-05 09:52:28	ga_ls7e_ard_3-2-0_104076_2021-05-05_final
2021-05-09 09:27:01	ga_ls7e_ard_3-2-0_100075_2021-05-08_final
2021-05-10 10:11:47	ga_ls7e_ard_3-2-0_107079_2021-05-10_final
2021-05-15 10:29:30	ga_ls7e_ard_3-2-0_110078_2021-05-15_final
2021-05-19 08:26:46	ga_ls7e_ard_3-2-0_090081_2021-05-18_final
2021-06-21 09:08:04	ga_ls7e_ard_3-2-0_097083_2021-06-20_final
2021-06-25 08:41:26	ga_ls7e_ard_3-2-0_093079_2021-06-24_final
2021-06-30 10:37:14	ga_ls7e_ard_3-2-0_112076_2021-06-30_final
2021-07-04 08:34:54	ga_ls7e_ard_3-2-0_092080_2021-07-03_final
2021-07-06 10:00:03	ga_ls7e_ard_3-2-0_106077_2021-07-06_final
2021-07-15 09:51:06	ga_ls7e_ard_3-2-0_105072_2021-07-15_final
2021-07-22 08:21:48	ga_ls7e_ard_3-2-0_090082_2021-07-21_final
2021-08-05 08:32:08	ga_ls7e_ard_3-2-0_092080_2021-08-04_final
2021-08-17 08:56:10	ga_ls7e_ard_3-2-0_096081_2021-08-16_final
2021-08-17 10:33:27	ga_ls7e_ard_3-2-0_112077_2021-08-17_final
2021-08-21 10:09:11	ga_ls7e_ard_3-2-0_108079_2021-08-21_final
2021-09-09 10:38:03	ga_ls7e_ard_3-2-0_113078_2021-09-09_final
2021-09-11 08:47:02	ga_ls7e_ard_3-2-0_095079_2021-09-10_final
2021-09-13 08:35:41	ga_ls7e_ard_3-2-0_093082_2021-09-12_final
2021-09-17 09:49:06	ga_ls7e_ard_3-2-0_105081_2021-09-17_final
2021-09-24 08:16:10	ga_ls7e_ard_3-2-0_090082_2021-09-23_final
2021-09-27 08:44:48	ga_ls7e_ard_3-2-0_095077_2021-09-26_final
2021-10-24 08:24:15	ga_ls7e_ard_3-2-0_092078_2021-10-23_final
2021-10-24 08:26:15	ga_ls7e_ard_3-2-0_092083_2021-10-23_final
2021-11-27 09:47:32	ga_ls7e_ard_3-2-1_106078_2021-11-27_final
2021-11-30 10:17:21	ga_ls7e_ard_3-2-1_111076_2021-11-30_final
2021-12-07 08:43:36	ga_ls7e_ard_3-2-1_096075_2021-12-06_final
2021-12-30 10:27:37	ga_ls7e_ard_3-2-1_113078_2021-12-30_final
2022-01-01 08:37:22	ga_ls7e_ard_3-2-1_095081_2021-12-31_final
2022-01-07 09:34:35	ga_ls7e_ard_3-2-1_105071_2022-01-07_final
2022-01-14 09:43:42	ga_ls7e_ard_3-2-1_106080_2022-01-14_final
2022-01-18 09:19:24	ga_ls7e_ard_3-2-1_102082_2022-01-17_final
2022-02-11 08:25:58	ga_ls7e_ard_3-2-1_094078_2022-02-10_final
2022-02-17 09:28:21	ga_ls7e_ard_3-2-1_104081_2022-02-16_final
2022-03-06 10:04:47	ga_ls7e_ard_3-2-1_111068_2022-03-06_final
2022-03-10 08:09:11	ga_ls7e_ard_3-2-1_091089_2022-03-09_final
2022-03-15 08:22:25	ga_ls7e_ard_3-2-1_094077_2022-03-14_final
2022-03-18 08:51:48	ga_ls7e_ard_3-2-1_099074_2022-03-17_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years